python-thinc 9.0.0-2 source package in Ubuntu
Changelog
python-thinc (9.0.0-2) unstable; urgency=medium * Team upload. * Do not generate a runtime dependency on python3-mock -- Alexandre Detiste <email address hidden> Thu, 01 Aug 2024 22:23:45 +0200
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-thinc_9.0.0-2.dsc | 2.4 KiB | ffa04e7c4f6f0d45e1f6c7375e163d0c40ac3dce0fcdb87ea80afd505900a897 |
python-thinc_9.0.0.orig.tar.gz | 1.6 MiB | 54062ae30e1b1050289103f096333a322c049b320e0bb1b366dc79258d692cf3 |
python-thinc_9.0.0-2.debian.tar.xz | 4.0 KiB | e46924595e6736fafe5b7ff29b9c59a7d5f0f1d4db9eb71bd8cc8b26ed30bc14 |
Available diffs
- diff from 9.0.0-1 to 9.0.0-2 (573 bytes)
No changes file available.
Binary packages built by this source
- python3-thinc: Practical Machine Learning for NLP in Python
Thinc is the machine learning library powering spaCy <https:/
/spacy. io>.
It features a battle-tested linear model designed for large sparse
learning problems, and a flexible neural network model under development
for spaCy v2.0 <https://spacy. io/usage/ v2>.
.
Thinc is a practical toolkit for implementing models that follow the
"Embed, encode, attend, predict" architecture. It's designed to be easy
to install, efficient for CPU usage and optimised for NLP and deep
learning with text – in particular, hierarchically structured input
and variable-length sequences.
- python3-thinc-dbgsym: debug symbols for python3-thinc